Instructions to use jzhoubu/dpr-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jzhoubu/dpr-msmarco with Transformers:
# Load model directly from transformers import Retriever model = Retriever.from_pretrained("jzhoubu/dpr-msmarco", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1f7943144ffea346e2e481dcd1315a9813cea284ea94890d3b37ec6e924c39a8
- Size of remote file:
- 871 MB
- SHA256:
- 72dd10ef68f80124f730d136933c20be0ad58e63dabb64c4515936ee75d56272
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